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MICCAI 2012 Challenge on Multimodal Brain Tumor Segmentation

Acknowledgements

Brain tumor image data used in this article were obtained from the MICCAI 2012 Challenge on Multimodal Brain Tumor Segmentation
(
www.imm.dtu.dk/projects/BRATS2012
)organized by B. Menze, A. Jakab, S. Bauer, M. Reyes, M. Prastawa, and K. van Leemput. The challenge database contain fully anonymized
images from the following institutions: ETH Zurich, University of Bern, University of Debrecen, and University of Utah. The data is distributed
under a Creative Commons 3.0 license: Attribution-NonCommercial (CC BY-NC)

Citation

The outcome of the BRATS2012 and BRATS2013 challenges has been summarized in the following publication. Authors using the BRATS dataset are kindly requested to cite this work:

Registration

Download

BRATS 2 Challenge data

15 patient datasets and 15 synthetic datasets are available for download:

You need to log in to download the challenge data!

BRATS 2 Training data

30 patient datasets and 50 synthetic datasets including ground truths are available for download:

You need to log in to download the training data!

BRATS 2 Individual Observer Ground-truth data

You need to log in to download the observer ground truth data!

Evaluation

Ground Truth images

All images are stored as signed 16-bit integers, but only positive values are used.

The manual segmentations (Truth) of the patient images have the folloing four different labels:

1 for necrosis

2 for edema

3 for non-enhancing tumor

4 for enhancing tumor

0 for everything else

The groundtruth (Truth) of the syntehtic images has the following two different labesl

1 edema

2 tumor core

0 for everything else

IMPORTANT: There are 3 requirements for the successfull upload and validation of your segmentation

Use the MHA filetype to store your segmentations (not mhd) [use short or ushort
if you experience any upload problems]

Keep the same labels as the provided truth.mha: 1 for edema, 2 for active tumor,
and 0 for everything else

Name your segmentations according to this template: VSD.your_description.###.mha

replace the ### with the ID of the corresponding Flair MR images. This
allows the system to relate your segmentation to the correct training truth. Download
an example list for the
training data
or challenge data .

Example 1

Filename of the High Grade Flair 0001 MR: VSD.Brain.XX.O.MR_Flair.687.mha